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Applications of Data Engineering

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In a previous blog post about data engineering, we went through several many concepts related to data engineering such as data modeling, and then we went through different types of databases, for example, relational databases and we also got a glimpse of relational as well as NoSQL databases. And in today's blog post we will be writing about data engineer applications. Which are basically the use cases of data engineering 1st let's see what data engineering applications mean; so basically when we have data and we have engineered it then there are several things that we can do with that data and these things that we can do with processed data are the use cases of the data engineering. For example: If we have filled our containers with the data then it's not of any good use if it is not clean and well-formed. If your data is well-formed and if there are no logical mistakes, missing values, and garbage then we can easily perform the use cases and applications of data enginee...
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PHP chess board : how to make ?

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As we have learned much of the basics of  HTML and CSS . Let us now learn how can we make our web applications more user friendly, flexible and versatile, using php . Today we will see how to make a chess board using php in collaboration with HTML and CSS .  So, Let's start: BASIC php SYNTAX: Starting Closing Tags: <?php ?> Php code must be written in these tags. Variables:              Start with "$" sign e.g. $num=3;               ; is really important to put after every statement. Functions:              Functions start with the keyword "function". E.g. function power(){} Print:             echo "printing by using echo";             echo ("printing by using echo");             print "pri...
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Good Pieces of Advice for Freshers

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To let you know a few useful things, I asked some experienced people, and here is what they have for you... Be open to changes. Focus on improving your soft / people skills. It will be hard sometimes but believe in yourself. You have got it. ( Rahat-Undergraduate ) Try to do good in quizzes and OHTs (One hour test or mids) cause when finals don't go well, these can help in getting good gpa which are comparatively easy then finals. ( Ayesha Munir-Undergraduate )   A few years later when you would look back at this time, GPA won't make you happy, but the memories of these 4 years will. Your career is important but so is having a good time. So work hard, party harder! ( Haris-Undergraduate ) From the start try to build your connections with seniors because they know more than you and.. are best counselors.. Focus on your quizzes and assignments because they are the building blocks of your Grade.. Your Good Image play some important part for favoritism points in exam....
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Data Engineering Tools

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   Data is a new oil. To channelize this data we need proper pipelines. These pipelines are mostly called ETL or data pipelines.  There are various tools out there to work out these Extract, Transform, and Load (ETL) operations.  Some of the scripting tools are:  - Python - SQL and NoSQL Apache provides a wide range of products that can be used as Data Engineering tools.  Some of the amazing apache DE services comprised of; - Hadoop - Spark - Kafka - Cassandra - Hive In addition, some cool DE tools are: - Tableau - Talend - MapReduce These DE tools provide a way to manage the data pipelines in a more effective, efficient, and better way.  Almost every Data-Oriented company in the corporate sector is highly dependent upon these technologies. They are leveraging many of the above-mentioned mechanisms for promising Data Services and Architecture. That's it for today. Hope you have enjoyed this article. If you want to know more about data or software relat...
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NoSQL database

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  Data is everywhere, it is expanding with each passing day. Relational Database systems are kind of fixed and static. When we have something in abundance and without any standard formation, then the tables of relational database systems cry out.  So what to do with so many data integrations from several structured as well as unstructured sources. Well, the answer is to go for NoSQL (Not Only SQL). SQL is a structured query language that is used to query Relational Databases. However, NoSQL database does not contain data in the form of relations. Most of the NoSQL databases follow the JSON type structure to store data.    Formal Definition:      Guru99  provides a pretty nice definition for NoSQL databases: " NoSQL Database  is a non-relational Data Management System, that does not require a fixed schema. It avoids joins and is easy to scale. The major purpose of using a NoSQL database is for distributed data stores with humongous data stora...
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Brain (A Computer Virus)

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Brain, a computer virus? who wrote this? when? Pakistani? How? Who? ? ? ? Ohh please calm down, I am giving the answers... Just Listen.. I mean Just Read.. Brain is one of the Boot Sector Computer Virus. Boot sector is the area of the hard disk, CD, DVD, CD-ROM and other storage devices that contains the machine code. The machine code is the one that is loaded into the computer RAM by the built-in firmware of computing system. The main purpose of Boot sector is to boot (start) the computer program loading process into the computer system.🔥🔥🔥 where was I, ya..  Brain ! so brain is the First Computer Virus, that is written in September 1986 by Two Pakistani Brothers Amjad Farooq Alvi and Basit Farooq Alvi . They wrote this virus in Lahore, Pakistan. Brain is sometimes called as "First Virus". This is written for the MS-DOS (Microsoft Disk Operating System). The language used for this virus is Assembly Language. Brain is also the first stealth viru...
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Github : Part 1 : Introduction

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Have you ever gone through the problem of version control while working on some coding project in a group? Did you find it difficult to share code with each member of a group? Yes? Then this blog post is for you... Problem.. Back in days, people used to write code but they found it difficult  to share and control the progress of their code in contact with each other. Say You are in Pakistan while your friend is in New York and both of you are working on some project involving coding and programming. With time to time you need to send some portion of your code to your friend to test it for further progress. After completion of your project you need to send the whole source code to your supervisor living in India. You are using email and Google drive for sending source codes, but this is not feasible but tedious as your friend need to download it then by modifying it on his own computer, send it back to you. This wastes a lot of time and is prone to errors.  Solutio...
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Frameworks vs Libraries vs Services

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Framework, libraries and services are usually overlapped. In this blog post we'll see how are these things different from one another. First let's have a look at framework .. Let's tokenize this word. Framework is composed of two terms. one is frame and second is work. Frame is anything that you can put something into . Like a photo frame, you have some sort of skeleton in which you can put your photo. but the most important thing is that your photo must be of the size of the frame. If this isn't the case then you might need to buy some other frame or you might need to cut your photo from the borders, or the bottom or the sides or from anywhere. (in order to fit it into the frame) The second word is "work" what does work mean... Well according to Physics you are only doing work if and only if some force is applied and you cover displacement in the direction of applied force. But this is not the case with this work word. Here the work is nothing ...
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Relational Data Model

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In the previous blog post, we covered Data Modeling. We have seen that data modeling is really important before jumping into predictive modeling.  In this article, we will cover the Relational Data Model (RDM). Let's start from the very basics, relational means anything which is linked with some other thing. This link is called "Relationship". In RDM or RM there are major three types of relationship cardinalities (also called Multiplicities or Cardianalities): 1. One to one 2. One to many 3. Many to many We can understand these with the help of a few simple examples;  One to one: One department has one manager. One to many: One class has many students. Many to many: Many teachers can teach many students. Okay, so we have got an abstract overview of the term " Relational ", now the next thing is " Data ", data covers everything, anything... And finally, " Model " means something in the form of a template, design, a kind of blueprint.  To store...
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